Codelco and Microsoft Sign 18-Month AI Pact to Tighten Mining Operations
Chile's state-owned Codelco signed a memorandum of understanding with Microsoft to evaluate AI, advanced analytics, automation and digital security across its mining operations. The agreement runs for 18 months with joint governance for strategic and operational tracking.
The scope centers on intensive data use, AI-assisted decision-making, autonomous operations, automation of critical processes and stronger cybersecurity. Both companies will participate in early testing and share global best practices.
Why operations leaders should care
- Data-to-decisions: Expect faster shift from raw sensor data to production decisions (maintenance windows, blend plans, shift allocations).
- Throughput and cost: AI-driven scheduling and automation can stabilize cycle times and reduce unplanned downtime.
- Safety and compliance: Advanced analytics on ventilation, ground conditions and equipment behavior can reduce incidents and near misses.
- Cyber resilience: As autonomy grows, so does the attack surface-security must move in lockstep with automation.
What's in the agreement
- 18-month initial term with joint governance for strategy and execution.
- Focus on AI for decision-making, autonomous operations and automation of critical processes.
- Strengthening of digital security and participation in early testing of new solutions.
- Sharing international experience to speed up deployment and learning.
Fast-start playbook for operations
- Map your data backbone: List high-value assets and processes (mills, crushers, LHDs, hoists, conveyors), their data sources, and current data quality. Close gaps in historians, telemetry and labeling.
- Pick decisions to augment: Choose 3-5 recurring decisions that swing cost or safety (maintenance intervals, ore routing, ventilation setpoints). Define the data each one needs.
- Stand up a pilot lane: Create a secure sandbox with read-only production data, clear success metrics, and a weekly steering cadence with IT, OT and operations.
- Prep people and SOPs: Assign owners for model outputs, escalation paths when predictions conflict with operator judgment, and audit trails for changes.
90-day pilot candidates
- Predictive maintenance for critical rotating equipment (sag/ball mills, hoists, pumps) using vibration, temperature and load signals to reduce unplanned downtime.
- Ore blending optimization to stabilize feed grade and hardness, improving recovery and energy use.
- Ventilation analytics underground to balance air quality, energy consumption and heat load.
- Autonomous task scheduling for LHDs and haul cycles to reduce queuing and empty runs.
- Safety analytics on near-miss and sensor logs to flag leading indicators before incidents.
Governance and security to get right
- Joint governance: One steering group with operations, OT, IT and security. Decide pilots, budgets, and go/no-go criteria together.
- Data controls: Clear data ownership, access tiers, encryption, and OT network segmentation. Log every model decision used in production.
- Model risk: Validate on backtests and shadow mode. Document failure modes, fallbacks and manual override procedures.
- Change management: Update SOPs, retrain operators, and run drills for "AI off" scenarios.
What they're saying
Codelco CEO Ruben Alvarado: "Working with a world-class technological leader like Microsoft consolidates our leadership in the future of mining. Faced with an accelerated digital transformation, we have to process and consider large volumes of operational data."
Tito Arciniega, President of Microsoft Latin America: "This alliance with Codelco reflects the potential that artificial intelligence represents to advance development in the mining sector and Chilean market, facilitating safer, more efficient and sustainable operations with a focus on people, productivity and long-term value for the company and country."
How to measure impact
- Availability and utilization: Uptime of critical assets, mean time between failures, queue times.
- Throughput and recovery: Tonnes processed per hour, recovery rates, energy per tonne.
- Safety: TRIF, leading indicators from near-miss analytics, ventilation compliance.
- Cyber: Patch cadence on OT assets, incident response time, privileged access audits.
- Time-to-decision: Hours from data capture to operational action on targeted decisions.
Resources
- Microsoft Mining Industry Solutions - reference architectures and case studies relevant to autonomy and analytics.
- Codelco - corporate updates and project context.
- AI for Operations - practical playbooks on decision support, automation and predictive maintenance for ops teams.
- Microsoft AI Courses - Azure, Copilot and enterprise AI tools with deployment and security considerations for operations.
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